Contact & Directions
Institute of Software Engineering and Programming Languages
Ulm University
James-Franck-Ring
D-89069 Ulm
Building O27, Level 4
Phone: +49 (0)731 / 50 - 24161
Email: in.sp-office@uni-ulm.de
Institute of Software Engineering and Programming Languages
Research
Our research covers many aspects of software engineering and programming languages. In particular, we focus on domain-specific languages, software configuration, and constraint programming. We employ formalized theories, develop open-source tools, and apply empirical research methods.
Teaching
The institute represents the areas software engineering and programming languages in the bachelor and master programs of computer science and related fields. We offer the following mandatory courses in the Bachelor's program:
- Interactive Systems Programming
- Software Engineering
- Software Project
Furthermore, we are responsible for the bachelor and master program Software Engineering.
Overview of the courses in the bachelor and master programs
Professors
News
Efficient Slicing of Feature Models via Projected d-DNNF Compilation accepted at ASE conference
Our work "Efficient Slicing of Feature Models via Projected d-DNNF Compilation" by Chico Sundermann, Jacob Loth, and Thomas Thüm has been accepted at…
Reusing d-DNNFs for Efficient Feature-Model Counting accepted at TOSEM Journal
Our work "Reusing d-DNNFs for Efficient Feature-Model Counting" by Chico Sundermann, Heiko Raab, Tobias Hess, Thomas Thüm and Ina Schaefer has been…
Congratulations to Dr. Thomas Witte for his successful defense of his doctoral thesis
We congratulate Dr. Thomas Witte on the successful defense of his dissertation "What you change is what you get – Using Provenance Tracking at…
"EditQL: A Textual Query Language for Evolving Models" accepted at MODELS'24
Our paper "EditQL: A Textual Query Language for Evolving Models" by Jakob Pietron, Benedikt Jutz, Alexander Raschke, and Matthias Tichy got accepted…
Award for the Best Master’s Degree
Florian Sihler received the award for the best master's degree in the field of computer science at Ulm University.
Newest publications
2024
698.
Bittner,
Paul Maximilian;
Schultheiß,
Alexander;
Moosherr,
Benjamin;
Kehrer,
Timo;
Thüm,
Thomas
Variability-Aware Differencing with DiffDetective
Companion Proc. Int'l Conference on the Foundations of Software Engineering (FSE Companion), Page 632-636
Publisher: ACM, New York, NY, USA
July 2024
Variability-Aware Differencing with DiffDetective
Companion Proc. Int'l Conference on the Foundations of Software Engineering (FSE Companion), Page 632-636
Publisher: ACM, New York, NY, USA
July 2024
| DOI: | 10.1145/3663529.3663813 |
| ISBN: | 9798400706585 |
697.
Neumüller,
Denis;
Sihler,
Florian;
Straub,
Raphael;
Tichy,
Matthias
Exploring the Effectiveness of Abstract Syntax Tree Patterns for Algorithm Recognition
4. International Conference on Code Quality (ICCQ)
June 2024
Exploring the Effectiveness of Abstract Syntax Tree Patterns for Algorithm Recognition
4. International Conference on Code Quality (ICCQ)
June 2024
| DOI: | 10.1109/ICCQ60895.2024.10576984 |
| ISBN: | 979-8-3503-6646-4 |
696.
Exelmans,
Joeri;
Pietron,
Jakob;
Raschke,
Alexander;
Vangheluwe,
Hans;
Tichy,
Matthias
Improving Collaborative Modeling by an Operation-Based Versioning Approach
Software Engineering 2024
March 2024
Improving Collaborative Modeling by an Operation-Based Versioning Approach
Software Engineering 2024
March 2024
| DOI: | 10.18420/sw2024_7 |
695.
Groner,
Raffaela;
Bellmann,
Peter;
Höppner,
Stefan;
Thiam,
Patrick;
Schwenker,
Friedhelm;
Tichy,
Matthias
Predicting the Performance of ATL Model Transformations
Software Engineering 2024
March 2024
Predicting the Performance of ATL Model Transformations
Software Engineering 2024
March 2024
| DOI: | 10.18420/sw2024_4 |
694.
Sundermann,
Chico;
Heß,
Tobias;
Nieke,
Michael;
Bittner,
Paul Maximilian;
Young,
Jeffrey M.;
Thüm,
Thomas;
Schaefer,
Ina
Evaluating State-of-the-Art #SAT Solvers on Industrial Configuration Spaces - Summary
Proc. Software Engineering (SE), Page 67-68
Publisher: Gesellschaft für Informatik, Bonn, Germany
February 2024
Evaluating State-of-the-Art #SAT Solvers on Industrial Configuration Spaces - Summary
Proc. Software Engineering (SE), Page 67-68
Publisher: Gesellschaft für Informatik, Bonn, Germany
February 2024
| DOI: | 10.18420/sw2024_18 |
| ISBN: | 978-3-88579-737-1 |
| File: |  https://github.com/SoftVarE-Group/Papers/raw/main/2024/2024-SE-Sundermann.pdf |